← Benchmarks
MMLU-Pro
A more robust and challenging multi-task language understanding benchmark that extends MMLU by expanding multiple-choice options from 4 to 10, eliminating trivial questions, and focusing on reasoning-intensive tasks. Features over 12,000 curated questions across 14 domains and causes a 16-33% accuracy drop compared to original MMLU.
id mmlu-pro · max 1 · 142 models reported
| # | Model | Score |
|---|---|---|
| 1 | Sakana Namazu Sakana AI | 0.90 |
| 2 | Qwen3.7 Max Alibaba Cloud / Qwen Team | 0.90 |
| 3 | Qwen3.6 Plus Alibaba Cloud / Qwen Team | 0.89 |
| 4 | Qwen3.7-Plus Alibaba Cloud / Qwen Team | 0.89 |
| 5 | MiniMax M2.1 MiniMax · open | 0.88 |
| 6 | Qwen3.5-397B-A17B Alibaba Cloud / Qwen Team · open | 0.88 |
| 7 | DeepSeek-V4-Pro-Max DeepSeek · open | 0.88 |
| 8 | Kimi K2.5 Moonshot AI · open | 0.87 |
| 9 | ERNIE 5.0 Baidu | 0.87 |
| 10 | Nemotron 3 Ultra (550B A55B) NVIDIA · open | 0.87 |
| 11 | Qwen3.5-122B-A10B Alibaba Cloud / Qwen Team · open | 0.87 |
| 12 | DeepSeek-V4-Flash-0423 DeepSeek · open | 0.86 |
| 13 | Solar Pro 4 Upstage | 0.86 |
| 14 | DeepSeek-V4-Flash-Max DeepSeek · open | 0.86 |
| 15 | Qwen3.6-27B Alibaba Cloud / Qwen Team · open | 0.86 |
| 16 | Qwen3.5-27B Alibaba Cloud / Qwen Team · open | 0.86 |
| 17 | Qwen3 Max Thinking Alibaba Cloud / Qwen Team | 0.86 |
| 18 | Qwen3.5-35B-A3B Alibaba Cloud / Qwen Team · open | 0.85 |
| 19 | Gemma 4 31B Google · open | 0.85 |
| 20 | Qwen3.6-35B-A3B Alibaba Cloud / Qwen Team · open | 0.85 |
| 21 | DeepSeek-R1-0528 DeepSeek · open | 0.85 |
| 22 | DeepSeek-V3.2 DeepSeek · open | 0.85 |
| 23 | DeepSeek-V3.2 (Thinking) DeepSeek · open | 0.85 |
| 24 | DeepSeek-V3.2-Exp DeepSeek · open | 0.85 |
| 25 | MAI-Thinking-1 Microsoft | 0.85 |
| 26 | MiMo-V2-Flash Xiaomi · open | 0.85 |
| 27 | Seed 1.8 ByteDance | 0.85 |
| 28 | GLM-4.5 Zhipu AI · open | 0.85 |
| 29 | Kimi K2-Thinking-0905 Moonshot AI · open | 0.85 |
| 30 | Qwen3-235B-A22B-Thinking-2507 Alibaba Cloud / Qwen Team · open | 0.84 |
| 31 | GLM-4.7 Zhipu AI · open | 0.84 |
| 32 | K-EXAONE-236B-A23B LG AI Research | 0.84 |
| 33 | Qwen3 VL 235B A22B Thinking Alibaba Cloud / Qwen Team · open | 0.84 |
| 34 | Nemotron 3 Super (120B A12B) NVIDIA · open | 0.84 |
| 35 | DeepSeek-V3.1 DeepSeek · open | 0.84 |
| 36 | Seed 2.0 Mini ByteDance | 0.84 |
| 37 | EXAONE 4.5 33B LG AI Research | 0.83 |
| 38 | Qwen3-235B-A22B-Instruct-2507 Alibaba Cloud / Qwen Team · open | 0.83 |
| 39 | Qwen3-Next-80B-A3B-Thinking Alibaba Cloud / Qwen Team · open | 0.83 |
| 40 | LongCat-Flash-Chat Meituan · open | 0.83 |
| 41 | Gemma 4 26B-A4B Google · open | 0.83 |
| 42 | LongCat-Flash-Thinking Meituan · open | 0.83 |
| 43 | Kimi K2 0905 Moonshot AI | 0.82 |
| 44 | Qwen3.5-9B Alibaba Cloud / Qwen Team · open | 0.82 |
| 45 | Qwen3 VL 32B Thinking Alibaba Cloud / Qwen Team · open | 0.82 |
| 46 | MiniMax M2 MiniMax · open | 0.82 |
| 47 | Nemotron 3.5 Lightning (30B A3B) NVIDIA · open | 0.82 |
| 48 | Qwen3 VL 235B A22B Instruct Alibaba Cloud / Qwen Team · open | 0.82 |
| 49 | Sarvam-105B Sarvam AI · open | 0.82 |
| 50 | Nova 2 Pro Amazon | 0.82 |
| 51 | GLM-4.5-Air Zhipu AI · open | 0.81 |
| 52 | DeepSeek-V3 0324 DeepSeek · open | 0.81 |
| 53 | Kimi K2 Instruct Moonshot AI · open | 0.81 |
| 54 | Kimi K2-Instruct-0905 Moonshot AI · open | 0.81 |
| 55 | MiniMax M1 80K MiniMax · open | 0.81 |
| 56 | Nova 2 Lite Amazon | 0.81 |
| 57 | GPT OSS 120B High OpenAI · open | 0.81 |
| 58 | Nova 2 Omni Amazon | 0.81 |
| 59 | MiniMax M1 40K MiniMax · open | 0.81 |
| 60 | Qwen3-Next-80B-A3B-Instruct Alibaba Cloud / Qwen Team · open | 0.81 |
| 61 | Llama 4 Maverick Meta · open | 0.81 |
| 62 | Qwen3 VL 30B A3B Thinking Alibaba Cloud / Qwen Team · open | 0.81 |
| 63 | Sarvam-30B Sarvam AI · open | 0.80 |
| 64 | Qwen3.5-4B Alibaba Cloud / Qwen Team · open | 0.79 |
| 65 | Qwen3 VL 32B Instruct Alibaba Cloud / Qwen Team · open | 0.79 |
| 66 | Nemotron 3 Nano (30B A3B) NVIDIA · open | 0.78 |
| 67 | LongCat-Flash-Lite Meituan · open | 0.78 |
| 68 | Mistral Small 4 Mistral AI · open | 0.78 |
| 69 | Qwen3 VL 30B A3B Instruct Alibaba Cloud / Qwen Team · open | 0.78 |
| 70 | Claude 3.5 Sonnet Anthropic | 0.78 |
| 71 | DiffusionGemma 26B-A4B Google · open | 0.78 |
| 72 | IBM Granite 4.2 30B IBM · open | 0.78 |
| 73 | Qwen3 VL 8B Thinking Alibaba Cloud / Qwen Team · open | 0.77 |
| 74 | Gemma 4 12B Google · open | 0.77 |
| 75 | Gemini 2.0 Flash Google | 0.76 |
| 76 | Claude 3.5 Sonnet Anthropic | 0.76 |
| 77 | Phi 4 Reasoning Plus Microsoft · open | 0.76 |
| 78 | DeepSeek-V3 DeepSeek · open | 0.76 |
| 79 | Gemini 1.5 Pro Google | 0.76 |
| 80 | Grok-2 xAI | 0.76 |
| 81 | GPT-4o OpenAI | 0.75 |
| 82 | Llama 4 Scout Meta · open | 0.74 |
| 83 | Phi 4 Reasoning Microsoft · open | 0.74 |
| 84 | IBM Granite 4.2 8B IBM · open | 0.74 |
| 85 | Qwen3 VL 4B Thinking Alibaba Cloud / Qwen Team · open | 0.74 |
| 86 | Llama 3.1 405B Instruct Meta · open | 0.73 |
| 87 | GPT-4o OpenAI | 0.73 |
| 88 | Grok-2 mini xAI | 0.72 |
| 89 | Gemini 2.0 Flash-Lite Google | 0.72 |
| 90 | Qwen3 VL 8B Instruct Alibaba Cloud / Qwen Team · open | 0.72 |
| 91 | Qwen2.5 72B Instruct Alibaba Cloud / Qwen Team · open | 0.71 |
| 92 | Phi 4 Microsoft · open | 0.70 |
| 93 | Gemma 4 E4B Google · open | 0.69 |
| 94 | Kimi K2 Base Moonshot AI · open | 0.69 |
| 95 | Mistral Small 3.2 24B Instruct Mistral AI · open | 0.69 |
| 96 | Qwen2.5 32B Instruct Alibaba Cloud / Qwen Team · open | 0.69 |
| 97 | Llama 3.3 70B Instruct Meta · open | 0.69 |
| 98 | Qwen2.5 VL 32B Instruct Alibaba Cloud / Qwen Team · open | 0.69 |
| 99 | Claude 3 Opus Anthropic | 0.69 |
| 100 | MiMo-V2.5-Pro Xiaomi · open | 0.69 |
